Código do Curso
aiauto
Duration
14 hours (usually 2 days including breaks)
Requisitos
The participants must have programming experience (any language) and engineering background, but are not required to write any code during the course.
Overview
Este curso aborda a IA (enfatizando Machine Learning e Deep Learning ) na Indústria Automotive . Isso ajuda a determinar qual tecnologia pode ser (potencialmente) usada em várias situações em um carro: da automação simples, reconhecimento de imagem até a tomada de decisão autônoma.
Machine Translated
Programa do Curso
Current state of the technology
- What is used
- What may be potentially used
Rules based AI
- Simplifying decision
Machine Learning
- Classification
- Clustering
- Neural Networks
- Types of Neural Networks
- Presentation of working examples and discussion
Deep Learning
- Basic vocabulary
- When to use Deep Learning, when not to
- Estimating computational resources and cost
- Very short theoretical background to Deep Neural Networks
Deep Learning in practice (mainly using TensorFlow)
- Preparing Data
- Choosing loss function
- Choosing appropriate type on neural network
- Accuracy vs speed and resources
- Training neural network
- Measuring efficiency and error
Sample usage
- Anomaly detection
- Image recognition
- ADAS
Declaração de Clientes
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